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Hierarchical Matrices: Algorithms and Analysis

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This self-contained monograph presents matrix algorithms and their analysis. The new technique enables not only the solution of linear systems but also the approximation of matrix functions, e.g., the matrix exponential. Other applications include the solution of matrix equations, e.g., the Lyapunov or Riccati equation. The required mathematical background can be found in the appendix.

The numerical treatment of fully populated large-scale matrices is usually rather costly. However, the technique of hierarchical matrices makes it possible to store matrices and to perform matrix operations approximately with almost linear cost and a controllable degree of approximation error. For important classes of matrices, the computational cost increases only logarithmically with the approximation error. The operations provided include the matrix inversion and LU decomposition.

Since large-scale linear algebra problems are standard in scientific computing, the subject of hierarchical matrices is of interest to scientists in computational mathematics, physics, chemistry and engineering.

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Series Title

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Call Number

510 HAC h

Publisher

: ., 2015

Collation

XXV, 511

Language

English

ISBN/ISSN

978-3-662-47323-8

Classification

510

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Numerical Analysis, Algorithms,

Specific Detail Info

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Statement of Responsibility

Wolfgang Hackbusch

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Khusnun

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